Triple
T35793216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Helmsley |
E1034747
|
entity |
| Predicate | countryOfCitizenshipOfActress |
P2
|
FINISHED |
| Object | United Kingdom |
E732
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United Kingdom | Statement: [Victoria Helmsley, countryOfCitizenshipOfActress, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCitizenshipOfActress Context triple: [Victoria Helmsley, countryOfCitizenshipOfActress, United Kingdom]
-
A.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
-
B.
countryOfCitizenship
chosen
Indicates the country in which a person or entity holds legal citizenship.
-
C.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
D.
associatedActNationality
Indicates that an act, event, or action is connected to or characterized by a particular nationality.
-
E.
portrayedByCountryOfCitizenship
Indicates that the subject is depicted or represented by an individual whose country of citizenship is the specified country.
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0205c0bff481908238a382459b3a93 |
completed | May 11, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38b6e2345c8190947649769c01d775 |
completed | June 22, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_6a0205143f20819087ee31576835be26 |
completed | May 11, 2026, 4:34 p.m. |
Created at: May 3, 2026, 4:06 p.m.